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TalBarami/msd_3dshapes

MSD Shapes3D Dataset Attribution The Multi-factor Sequential Disentanglement benchmark includes a modified variant of the 3D Shapes dataset, adapted to support sequential multi-factor disentanglement. In this setup, the floor hue, wall hue, object hue, and shape are static, while the scale and orientation change over time. Original repository:https://github.com/deepmind/3d-shapes @misc{3dshapes18, title={3D Shapes Dataset}, author={Burgess, Chris and Kim, Hyunjik}… See the full description on the dataset page: https://huggingface.co/datasets/TalBarami/msd_3dshapes.

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MSD Shapes3D Dataset Attribution

The Multi-factor Sequential Disentanglement benchmark includes a modified variant of the 3D Shapes dataset, adapted to support sequential multi-factor disentanglement.

In this setup, the floor hue, wall hue, object hue, and shape are static, while the scale and orientation change over time.

—Original repository: https://github.com/deepmind/3d-shapes

@misc{3dshapes18,
  title={3D Shapes Dataset},
  author={Burgess, Chris and Kim, Hyunjik},
  howpublished={https://github.com/deepmind/3dshapes-dataset/},
  year={2018}
}

⚠ Note: The 3D Shapes dataset is released under the Apache License 2.0. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above paper when using this dataset in your work.